David Looney
Staff Research Scientist at Pindrop
London, England, United Kingdom
Summary
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Senior🎓
Top SchoolDavid Looney is a Staff Research Scientist and ML engineer with 11+ years of industry experience building fraud, authentication and deepfake detection systems, combining production-ready ML with a strong theoretical foundation from a PhD in Statistical Signal Processing (Imperial College London). He has led interdisciplinary, impact-driven research—from ear‑EEG wearable health sensing and multimodal physiological biomarkers to large-scale fraud analytics—and holds patents and a prolific publication record with over 3,000 citations. At Pindrop he has progressed through research ranks to develop deployed technologies for voice authentication and adversarial audio detection, bridging lab prototypes and operational products. Colleagues rely on him for translating complex signal-processing theory into robust, business-facing solutions and for supervising hands-on engineering of data acquisition and denoising pipelines. An award-winning researcher who collaborates across academia, industry and the arts, he brings both deep domain expertise in acoustics/health and practical experience scaling data-driven systems.
11 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (PhD), Statistical Signal Processing, Doctor of Philosophy (PhD), Statistical Signal Processing at Imperial College LondonBachelor's Degree, Electrical and Electronics Engineering, First Class Honours, Bachelor's Degree, Electrical and Electronics Engineering, First Class Honours at University College Dublin
FrenchGithub contributions (3)
DavidLoon/RRI_estimation
Jan 2015 - Jun 2022
Contributions:20 commits, 19 pushes, 1 branch in 7 years 5 months
DavidLoon/DSP_python
Aug 2015 - Aug 2015
Contributions:2 pushes in 1 day
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